For this purpose, the technique of passive network monitoring is very appropriate this can be utilized to deal with incisive problems within individual network devices, problems relating to the whole LAN (Local Area Network) or core network. Further, we fully disclose the artifacts leading to the experiments described in this work.Ī key issue facing operators around the globe is the most appropriate way to deal with spotting black in networks. We provide prototype implementations and performance figures for all three platforms. Therefore, we analyze different defense strategies, SYN authentication and SYN cookie, and discuss implementation difficulties when ported to different target data planes: software, network processors, and FPGAs. We discuss how we can harness their performance to defend entire networks against SYN flood attacks. ![]() Modern programmable data plane devices are capable of handling traffic in the 10 Gbit/s range without overloading. Abusing the widely used TCP as an attack vector complicates the detection of malicious traffic and its prevention utilizing naive connection blocking strategies. Highly asymmetric costs for connection setup - putting the main burden on the attackee - make SYN flooding an efficient and popular DoS attack strategy. The SYN flood attack is a common attack strategy on the Internet, which tries to overload services with requests leading to a Denial-of-Service (DoS). The tests discussed below show that the algorithm achieves a 25% decrease in the packets per second rate with minimal information loss. This work proposes an algorithm that drops empty ACK packets from TCP traffic, thus achieving a significant reduction in the packets per second that must be handled by each traffic module. To address this problem, traffic thinning can be applied to reduce the input load, by swiftly discarding useless packets at the sniffer NIC or driver level, which effectively reduces the load on software layers that handle traffic processing. Delivering such flow records, about network traffic flowing at tens of Gbps is rather challenging in terms of processing power. Typically, flow records are generated from the packet traffic, such as TCP flow records that feature the number of bytes and packets in each direction, flow duration, number of different ports, and other metrics. ![]() ![]() Traffic monitoring involves packet capturing and processing at a very high rate of packets per second. This Accelerator overcomes, to some extent, the limitations of commercial NICs when oriented to microservice architectures. In addition, it can forward packets with low latency close to that of the current state-of-the-art ovs-DPDK. Experiments conducted on a 100 Gbps FPGA show that the Accelerator can support the multi-queue transmission with various packet sizes, define the forwarding behavior, and almost approach the line rate on an 8-core FPGA device. To improve the sending and receiving efficiency of network node data, a driver adapted to the FPGA accelerator is designed to realize zero-copy. A PTP hardware clock is added to collaborate with the queue management unit to control the deterministic delivery. ![]() The Accelerator relies on the instantiated 1000 queues and the queue management unit to extend the rule-based RSS algorithm for the serverless-friendly programmability of packet distribution. To ensure that each microservice node handles requests efficiently, flexibly, and precisely, this paper proposes a programmable deterministic multi-queue FPGA Accelerator. When handling massive microservice requests, the commercial NIC shows limitations in three aspects: deterministic, programmability, and data copy. The unbundling of services has led to exponential growth in the size of APIs. With the expansion of network scales, the B/S architecture of monolithic applications is gradually being replaced by microservices.
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